[What the role is]
Office of Digitalisation, Data and AI - Deputy Manager/Manager (Data Scientist)
[What you will be working on]
- Analyse educational data to identify key predictors, conduct statistical testing, and prepare high quality modelling datasets.
- Normalise and structure data to enable fair comparisons across cohorts, modules, and usage patterns.
- Develop, compare, and validate predictive models; recommend suitable modelling approaches based on data strength and operational needs.
- Apply explainability techniques to ensure model transparency and support stakeholder interpretation.
- Work with the Data Engineer to operationalise models, support scheduled runs, and ensure results are visualised through dashboards and reports.
- Monitor model performance, evaluate post deployment impact, and define model update and maintenance requirements in line with governance standards.
[What we are looking for]
- A qualification in Computer Science, Data Science, Statistics or a related discipline.
- Preferably with at least 3 years of experience in predictive modelling and feature engineering.
- Strong foundations in statistics, data preparation and model evaluation.
- Familiarity with model explainability techniques (e.g. SHAP).
- Technical experience in Azure Synapse and Microsoft Fabric would be an advantage.
- Proficiency in SQL and Python.
- Ability to work in a collaborative and fast-paced environment with a growth mindset.
- Strong oral and written communication skills in English.
- Ability to deliver tasks on time with high-quality outcomes.
- Highly motivated and able to work independently and in a team.
